NVIDIA/earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
This tool helps meteorologists, climate scientists, and environmental researchers explore, build, and deploy AI models for weather and climate prediction. You can input current atmospheric data from sources like GFS or IFS, choose from a large collection of pre-trained AI models (like FourCastNet3, AIFS, or GraphCast), and then generate future weather forecasts or climate simulations. It's designed for professionals who need to quickly run and customize advanced AI-driven Earth system models.
694 stars. Actively maintained with 42 commits in the last 30 days. Available on PyPI.
Use this if you need to rapidly develop and run AI models for weather forecasting or climate research, and want to easily swap out different AI models or data sources.
Not ideal if you are looking for a simple, out-of-the-box weather app for daily personal use rather than a customizable AI modeling framework.
Stars
694
Forks
155
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
42
Dependencies
18
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